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Harmonized Group Mix for ITS

Mirja Nitschke,Christian Roth,C. Hoyer,D. Kesdogan

Published 2020 in International Conference on Information Systems Security and Privacy

ABSTRACT

Vehicle-to-Vehicle (V2V) communication is crucial for almost all future applications in the context of smart traffic, such as autonomous driving. However, while current standards like WAVE provide a technical platform for communication and management, they lack aspects of privacy for their participants. In this paper, we introduce a Harmonized Group Mix (HGM), an architecture suited to exchange information in ITS, compatible with current standards. HGM does not rely on expensive Road-Side-Units (RSUs) or complex organizational relationships to introduce a trust anchor but is built on the concept of peer-to-peer networks. Hence, our proposal does not require any changes to current environments and is eventually easy to deploy in the real world. Our proposed method provides k-anonymity using group signatures and splits trust between multiple parties. At the same time, the integrity of the system is preserved. We evaluate our approach using the simulation framework Veins. Our experiments show that HGM is feasible from a performance and privacy perspective in the given context.

PUBLICATION RECORD

  • Publication year

    2020

  • Venue

    International Conference on Information Systems Security and Privacy

  • Publication date

    2020-02-25

  • Fields of study

    Computer Science, Engineering

  • Identifiers
    DOI 10.5220/0008989101520163
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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